• International Journal of Safety
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• 제4권2호
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• pp.18-23
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• 2005

There are many electrical connections in the electric apparatus and most fires due to a fault contact result from a failure or misuse of electric apparatus and installation. The fault contact happens between electrical connections by the loose and the mechanical vibration. In this paper, we have investigated thermal and electrical properties of screwed electric contacts due to the mechanical vibration. The exciter was connected to a signal generator and power amplifier that provided the vibration frequency and amplitude. The vibration, temperature and voltage data were sent to a data acquisition system (DAQ). In the case that fault contact took place, the arc happened between the screwed electric contact and electric wire, heat due to the arc was transmitted to the adjacent insulators, for which the oxide could be generated more. In addition, a spark was generated and the insulator began to melt. Thus, the possibility of electrical fire became the highest in this case. Finally, when the fault contact takes place due to vibration, the hazard of an electric accident is very high.

• 제어로봇시스템학회논문지
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• 제15권3호
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• pp.337-345
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• 2009

The dependence of numerous systems on electronic devices is causing rapidly increasing concern over fault tolerance because of safety issues of safety critical system. As an example, a vehicle with electronics-controlled system such as x-by-wire systems, which are replacing rigid mechanical components with dynamically configurable electronic elements, should be fault￢tolerant because a devastating failure could arise without warning. Fault-tolerant systems have been studied in detail, mainly in the field of aeronautics. As an alternative to solve these problems, this paper presents the fuzzy hybrid redundancy system that can remove most erroneous faults with fuzzy fault detection algorithm. In addition, several numerical simulation results are given where the fuzzy hybrid redundancy outperforms with general voting method.

• 한국통신학회논문지
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• 제17권11호
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• pp.1279-1289
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• 1992

고장 방지 시스템은 하드웨어나 소프트웨어의 여분 (Redundancy)을 이용하여 신뢰도(Reliability) 및 안전도(Safety)를 향상 시킨다. 시스템의 대상 영역(application areas)에 따라 고장 마스크(fault mask), 고장검출(fault detection), 고장 확인(fault identification)등의 기법을 선택하여 이용한다. 본 연구에서는 최소의 하드웨어와 소프트웨어의 여분을 이용하는 DMR(Double Modular Redundancy) 시스템을 대기 모듈(standby module)과 Fail-safe 모듈로 동작 시킬때 신뢰도와 안전도의 특성을 비교 제시한다. 또한 자기 진단 프로그램의 과도 오류 방지 능력에 대한 시스템의 MTTF를 비교함으로서 과도 오류를 취급하는 효과적인 방법을 제시하였다.

• 한국멀티미디어학회논문지
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• 제15권1호
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• pp.115-130
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• 2012

오늘날 대다수의 안전필수 시스템들(Safety-Critical Systems)에는 컴퓨터, 전기 및 전자 부품이나 장치들에 소프트웨어를 칩에 내장하거나 제어용 소프트웨어 시스템이 탑재되어 구축되고 있다. 이에 따라, 컴퓨터 소프트웨어를 내장하였거나 탑재한 시스템들의 안전성을 평가하기 위한 여러 가지의 결함 분석 기법들이 제안되어져 오고 있다. 이러한 소프트웨어 결함 분석 기법들은 전통적으로는 하나의 안전필수 시스템을 분석하는데 단지 하나의 방법으로만 분석해 왔으나, 시스템의 종류와 특성이 다양해지면서 그 시스템에 가장 알맞은 결함 분석 기법이 동원되어야 함은 필수적이다. 본 연구에서는, 안전필수 시스템에서 소프트웨어의 크기가 비교적 작고, 안전성과 관련한 시스템 제어 반응 시간이 특별히 민감하지 않는 소프트웨어의 안전성을 평가하는 방법으로 결함트리 분석(FTA)과 소프트웨어 고장 유형 및 영향 분석(FMEA)을 결합한 시스템 결함 분석 방법을 제안하고 유비쿼터스 헬스케어 시스템을 이용하여 사례연구를 수행하고자 한다.

• 한국자동차공학회논문집
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• 제15권6호
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• pp.9-16
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• 2007

This paper describes the design and implementation of the fault diagnosis on the Electronic Throttle Control(ETC) System. The proposed fault diagnosis consists of an input signal, actuator and a processor diagnosis. The input signal diagnosis can detect the faults of the ETC system's input signals such as the position sensor fault, source voltage fault, load current fault, and desired position fault. The actuator diagnosis is able to detect the actuator fault due to the actuator aging and an obstacle which interfere in the movement of the actuator. The processor diagnosis detects the fault which prevents the microprocessor from operating the ETC software. In order to protect the breakdown of the ETC system and assure the driving safety, appropriate reactions are also proposed according to the detected faults. The safety and reliability of the ETC system can be improved by the proposed fault diagnosis.

• 한국안전학회지
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• 제27권3호
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• pp.20-27
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• 2012

Mechanical seals are one of main components of high speed centrifugal pumps. So, it is very important to detect the faults (scratch, notch, indentation, wear) of mechanical seals since the damage of seal can cause a critical failures or accidents of machinery system. In the past, many researchers mainly performed to detect the seal fault using the time signals measured from sensors. Recently, studies are focused on the development of on-line real time monitoring system. But study on the feature parameters used for fault detection of mechanical seals has a little been performed. In this paper, we showed feature parameters extracted from accelerated and acoustic signals by using the discrete wavelet transform (DWT), alpha coefficient, statistical parameters. And also verified the possibility for fault detection of mechanical seal.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제10권8호
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• pp.287-300
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• 2021

협업 사이버-물리 시스템(Collaborative Cyber-Physical Systems, CCPS)은 물리 세계와 사이버 세계가 밀접하게 결합하여 공동의 목표를 달성하기 위하여 협업을 수행하는 시스템이다. 한편, 단일 사이버-물리 시스템(Cyber-Physical System)의 경우에는 ISO 26262 또는 IEC 61508과 같은 표준을 따르거나 다양한 위험 분석 기법을 적용함으로써 그 안전을 확보할 수 있다. 그러나 CCPS에서는 협업을 수행중인 한 CPS의 결함으로 인하여 다른 협업 중인 CPS에게 수많은 결함을 발생시키기 때문에 안전의 확보가 매우 어렵다. 본 논문에서는 이러한 CCPS의 위험을 분석하여 안전을 확보하기 위해 복합적인 위험 분석과 위험 분석 산출물 사이의 관계를 기반으로 하는 위험 치명도 매트릭스(Fault Criticality Matrix, FCM)를 제시한다. FCM에서는 결함, 결함의 치명도, 안전 가드와 안전 가드의 발생 확률, 결함의 영향 및 순위를 나열하여 분석한다. 안전 엔지니어는 이를 통해 시스템의 설계 단계에서 각 결함의 치명도와 영향을 분석하고, 설계된 안전 가드를 통해 식별된 고장을 효과적으로 관리하고 제어함으로써 안전한 CPS를 개발할 수 있다. 제시된 방법의 유용성을 확인하기 위해 CCPS의 대표적 예인 군집주행에 대하여 사례 연구를 수행하였다. 본 연구에서 개발된 도구를 사용하여 군집주행 시스템에 FCM을 적용함으로써 상세한 결함 치명도 분석을 수행하였고, 분석 결과는 적합성과 효과성 관점에서 점검되었다. 또한 군집 주행에 대한 시뮬레이션 수행을 통해 FCM을 사용하여 결함 치명도를 분석한 군집주행 시스템이 발견된 모든 결함을 완화시켜 충돌 가능성을 크게 낮추었음을 보였다.

• Nuclear Engineering and Technology
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• 제55권6호
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• pp.2096-2106
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• 2023

Rotating machinery is widely applied in important equipment of nuclear power plants (NPPs), such as pumps and valves. The research on intelligent fault diagnosis of rotating machinery is crucial to ensure the safe operation of related equipment in NPPs. However, in practical applications, data-driven fault diagnosis faces the problem of small and imbalanced samples, resulting in low model training efficiency and poor generalization performance. Therefore, a deep convolutional conditional generative adversarial network (DCCGAN) is constructed to mitigate the impact of imbalanced samples on fault diagnosis. First, a conditional generative adversarial model is designed based on convolutional neural networks to effectively augment imbalanced samples. The original sample features can be effectively extracted by the model based on conditional generative adversarial strategy and appropriate number of filters. In addition, high-quality generated samples are ensured through the visualization of model training process and samples features. Then, a deep convolutional neural network (DCNN) is designed to extract features of mixed samples and implement intelligent fault diagnosis. Finally, based on multi-fault experimental data of motor and bearing, the performance of DCCGAN model for data augmentation and intelligent fault diagnosis is verified. The proposed method effectively alleviates the problem of imbalanced samples, and shows its application value in intelligent fault diagnosis of actual NPPs.

• 자동차안전학회지
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• 제9권4호
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• pp.32-37
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• 2017

For automated vehicles, the integrity and fault tolerance of environment perception sensor have been an important issue. This paper presents radar, vision, lidar(laser radar) fusion-based fault detection algorithm for autonomous vehicles. In this paper, characteristics of each sensor are shown. And the error of states of moving targets estimated by each sensor is analyzed to present the method to detect fault of environment sensors by characteristic of this error. Each estimation of moving targets isperformed by EKF/IMM method. To guarantee the reliability of fault detection algorithm of environment sensor, various driving data in several types of road is analyzed.

• 한국안전학회지
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• 제12권1호
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• pp.37-43
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• 1997

There are two kinds of ground fault diagonosis system(GFD), which are for AC and DC power line. The ground fault current of a DC power line Is, first, analyzed for a description of a GFD system for DC power line and then the construction method of the GFD system, which could be processed and analyzed a ground fault current, are explained. Main functions of the system are that the detected ground fault current could be converted to the line insulation resistance by a program and saved in the system memory continuously. Finally a DC power line insulation safety could be decide by a change of the saved Insulation resistance for a given time. This system can detect the ground fault resistance to 100㏀.